{quote} Ok...my apologies to the ones that read my above posts... The link from the FF posted - read the posts from iDouble maybe you will learn something. The thread that I was saying to read it all is here (forgot to post the link in the first place) : http://forums.babypips.com/free-forex-trading-systems/42052-what-really-turned-my-trading-around.html#post302919 - now that's thinking wouldn't you say ?
- Joined Sep 2011 | Status: Trader | 488 Posts
Better question would be what Pi, market and Torus have together... Torus is geometrical pattern that emerges from all the methods of ancient geometry. Fibonacci, Pi, Phi... All of them are "self organizing system that comes together in a space of unity & expands its energy out all around itself till it returns back to that original space and it will continue to do this forever" All nature function in this manner, for example atoms, gravity, tornado, bussines cycle,...There is no finite end or beginning as on market, pi...THX
Well, doesn't market work
the same?
- Joined Oct 2014 | Status: Trader | 458 Posts
Clarity of Perception than Confidence 
https://www.youtube.com/watch?v=FNCUQgHocK8
https://www.youtube.com/watch?v=FNCUQgHocK8
- Joined Oct 2014 | Status: Trader | 458 Posts
The Construct :nerd: Pay close attention to this post for I will do 2 things: Introduce you a trading concept which only few people know. Hopefully expand your awareness and perspective about trading. Be warned... This concept may be hard to chew and digest. It requires certain knowledge of science to truly appreciate what I'm about to explain. Nevertheless, I will explain it as interesting and as simple as I can. Simple, but I'll take this to overdrive! =============== The Matrix We live in multi-dimensions. I will only be focusing on 2 (actually...
Hope you are doing fine CP, i've been researching based on your posts for the last 6 years and i've learnt and discovered a lot now. one of the puzzle which i have spent a lot of time thinking to understand was the connection of 39 digits of Pi is a constant of a construct to trading and i think i have figured it out... one of the clue of it is in the below picture. i would like to have a chat with you if possible so that i can share what i have discovered so far
- | Joined Sep 2022 | Status: Trader | 21 Posts
I'm studying CP for some years now, there are many gaps to fill and I'm not profitable yet. I arrived late to the party but I would like to give back something I learned, for what is worth, by explaining the "null probability riddle" by CP.
- The probability of flipping either a head or a tail is 50%... If you only do this once!!!!
- When you flip a coin for INFINITY, the probability is NULL.
- When you are working with infinity, it would be common sense that you will NEVER reach a statistical limit to conclude a probability.
I'm not claiming to be an expert regarding probabilities, but as far as my knowledge and experience tells me: CP is right (as usual 
).
Have you ever studied Mandlebrot fractal? Please do so because otherwise you wouldn't understand what I'm going to say. So, the perimeter of a fractal in infinite (you can zoom in literally till the end of time) but at the same time it's area is finite (you can draw a square around the Mandlebrot set)... how that's possible? It's like a paradox; actually the fractal's infinite is a "small infinite": it converges (without never touching) 0. After one year of zooming if we look at x axis value we would see something like x.000000000000..... (x depends from where you look, and many other zero or decimal places), the more you zoom, the more zeros or decimals... If we approximate it we can say the Mandlebrot set = x (that can be 0, -1, 0.5 ...), but how can it be = x?? We can see it, there's something there, it's not just like a dot at value x! It's like a paradox, infinite perimeter into a finite area. That's like probabilities in trading... That's like calculating infinite coin tosses, law of large numbers states that it converge to 50%, but in reality you can't calculate probability of infinite, because every outcome is possible and will happen otherwise it wouldn't be infinite! No one can disprove that from toss 15482093x10^5425234 there will always be only heads, sure you can do it with a computer, but I can always say: "no actually only-heads sequence starts in next 1000 tosses", I could do this till end of time and still you can't disprove that eventually at some point any toss would produce only head. 
Markets are never ending... always changing... like a fractal, no point in calculating probabilities, and with no point I mean that it's completely useless. If you want you can always entertain yourself with it, I did that for 2 years, you'll always get a perfect balance (as far as I'm concerned), no matter what you try results will always be perfectly balanced (meaning you would stay at BE).
A fractal is finite and infinite at the same time, which mean that we can tap into other aspects of the structure... If you study Mandlebrot fractal you'll notice there are certain ratio, you'll notice that if you zoom into it for long enough you'll see patterns that remember the main region they're coming from! In other words it's infinte, ever changing, you will never find 2 perfectly equal segments of the fractal, yet every little twist and curve follow a scheme which causes it's order, which causes the fact that no matter where you look, more or less every segment is similar to another... Infinitely in it's forms, ever chancing and yet constantly self-similar! But after all this, the most mind-blowing thing about this is that it all rise from a really simple equation.
This channel has published some (great) videos about the Mandlebrot set, if you start from the first you'll be able to understand it without any math knowledge, and most importantly you'll understand what CP was talking about: https://www.youtube.com/@TheMathemagiciansGuild/videos
- Probability can only be captured when you have an end or limitation.
You can calculate probability of catching a blue marble in a chest with 10 x 10^100 green, orange and blue marbles, you can't calculate the probability of catching a blue marble from a chest with infinite marbles. (Well technically you can by knowing the distribution function of marbles of the specific color, the one who reach a bigger infinity has a bigger chance... But still, that calculation would be useless because we as human can't comprehend infinite, let aside comprehend the fact that some infinites are bigger than others).
I remember reading this thread in 2020 and I wasn't able to understand nothing, really nothing, 0. Wonder how many breadcrumbs left by CP was just ignored by the most. I'll continue my studies, hopefully one day they will converge to desired outcome.
Thank you CP.
Fun with chatgpt 
:
-is pi normal?
Pi is believed to be a normal number, but it has not been proven yet.
A normal number is a real number whose digits in any base b are distributed uniformly and randomly in the sense that each digit appears with frequency 1/b, each pair of digits appears with frequency 1/b^2, each triple of digits appears with frequency 1/b^3, and so on.
Although pi is known to be a transcendental number, which means that it is not a root of any non-zero polynomial with rational coefficients, the question of its normality is still an open problem in mathematics. However, extensive numerical tests of pi's digits have shown that they appear to be randomly distributed, which supports the hypothesis that pi is a normal number.
-in a previous chat you were hard claiming no. what changed?
I apologize for any confusion. I have reviewed my previous responses, and I did not make a hard claim either way regarding whether pi is normal or not.
To clarify, pi's normality is still an open problem in mathematics, meaning it has not been definitively proven or disproven whether pi is a normal number. Although extensive numerical tests suggest that pi is likely normal, this has not been proven rigorously.
Again, I apologize for any confusion, and I hope this clarifies my previous response.
-you were saying that pi is a fixed nuber and as such it cant be gaussian distributed
I apologize for any confusion. You are correct that pi is a fixed number, and as such, it cannot be Gaussian distributed.
A Gaussian distribution, also known as a normal distribution, is a probability distribution that describes a continuous variable, such as a random variable. It is defined by its mean and standard deviation and has the characteristic bell-shaped curve.
While pi's decimal expansion can be analyzed for patterns and properties, it does not have the properties of a probability distribution, and therefore it cannot be said to be Gaussian distributed.
I apologize for any incorrect information I may have provided earlier. Thank you for bringing it to my attention.
-so is it gaussian distributed or not
I apologize for any confusion I may have caused. To be clear, pi is not a Gaussian distributed variable.
A Gaussian distribution, also known as a normal distribution, is a probability distribution that describes a continuous variable, such as a random variable. Pi, on the other hand, is a mathematical constant with a fixed value. While its decimal expansion has been studied for patterns and properties, it does not have the properties of a probability distribution, and therefore it cannot be said to be Gaussian distributed.
I hope this clears up any confusion.
-is that contradicting yourself
I apologize for any confusion. In my previous response, I did not provide a clear answer to your question. Let me clarify:
Pi is not a Gaussian distributed variable. A Gaussian distribution, also known as a normal distribution, is a probability distribution that describes a continuous variable, such as a random variable. Pi, on the other hand, is a mathematical constant with a fixed value.
Pi's decimal expansion can be analyzed for patterns and properties, and one of the properties that has been studied is the distribution of its digits. Although pi has not been definitively proven to be a normal number, extensive numerical tests have suggested that its digits are uniformly distributed, which means they do not follow a normal distribution.
To summarize, pi is not a Gaussian distributed variable, but the distribution of its digits has been studied and does not follow a normal distribution. I apologize for any confusion my previous responses may have caused, and I hope this clears things up.
-define gaussian distributed variable. you always referred to pi digits?
I apologize for any confusion. A Gaussian distributed variable, also known as a normal distributed variable, is a continuous random variable whose probability distribution follows a bell-shaped curve known as the normal distribution.
The normal distribution is characterized by two parameters: its mean, which represents the center of the distribution, and its standard deviation, which represents the spread of the distribution. Many natural phenomena, such as the distribution of heights or weights of individuals in a population, follow a normal distribution.
In my previous responses, I was referring to pi's decimal expansion and the distribution of its digits, which has been studied for patterns and properties. Although extensive numerical tests have suggested that the digits of pi are uniformly distributed, which means they do not follow a normal distribution.
I hope this clears up any confusion, and please let me know if you have any further questions.
-but in the start you said it is considered normal!
I apologize for any confusion. Let me clarify:
Pi's normality is still an open problem in mathematics, meaning it has not been definitively proven or disproven whether pi is a normal number. However, extensive numerical tests of pi's digits have shown that they appear to be randomly distributed, which supports the hypothesis that pi is a normal number.
When I said "Pi is considered normal," I meant that it is widely hypothesized that pi is a normal number, but this has not been proven rigorously. I should have made it clear that this is a hypothesis, not a proven fact.
Again, I apologize for any confusion my previous responses may have caused, and I hope this clarifies my earlier statements.
:-is pi normal?
Pi is believed to be a normal number, but it has not been proven yet.
A normal number is a real number whose digits in any base b are distributed uniformly and randomly in the sense that each digit appears with frequency 1/b, each pair of digits appears with frequency 1/b^2, each triple of digits appears with frequency 1/b^3, and so on.
Although pi is known to be a transcendental number, which means that it is not a root of any non-zero polynomial with rational coefficients, the question of its normality is still an open problem in mathematics. However, extensive numerical tests of pi's digits have shown that they appear to be randomly distributed, which supports the hypothesis that pi is a normal number.
-in a previous chat you were hard claiming no. what changed?
I apologize for any confusion. I have reviewed my previous responses, and I did not make a hard claim either way regarding whether pi is normal or not.
To clarify, pi's normality is still an open problem in mathematics, meaning it has not been definitively proven or disproven whether pi is a normal number. Although extensive numerical tests suggest that pi is likely normal, this has not been proven rigorously.
Again, I apologize for any confusion, and I hope this clarifies my previous response.
-you were saying that pi is a fixed nuber and as such it cant be gaussian distributed
I apologize for any confusion. You are correct that pi is a fixed number, and as such, it cannot be Gaussian distributed.
A Gaussian distribution, also known as a normal distribution, is a probability distribution that describes a continuous variable, such as a random variable. It is defined by its mean and standard deviation and has the characteristic bell-shaped curve.
While pi's decimal expansion can be analyzed for patterns and properties, it does not have the properties of a probability distribution, and therefore it cannot be said to be Gaussian distributed.
I apologize for any incorrect information I may have provided earlier. Thank you for bringing it to my attention.
-so is it gaussian distributed or not
I apologize for any confusion I may have caused. To be clear, pi is not a Gaussian distributed variable.
A Gaussian distribution, also known as a normal distribution, is a probability distribution that describes a continuous variable, such as a random variable. Pi, on the other hand, is a mathematical constant with a fixed value. While its decimal expansion has been studied for patterns and properties, it does not have the properties of a probability distribution, and therefore it cannot be said to be Gaussian distributed.
I hope this clears up any confusion.
-is that contradicting yourself
I apologize for any confusion. In my previous response, I did not provide a clear answer to your question. Let me clarify:
Pi is not a Gaussian distributed variable. A Gaussian distribution, also known as a normal distribution, is a probability distribution that describes a continuous variable, such as a random variable. Pi, on the other hand, is a mathematical constant with a fixed value.
Pi's decimal expansion can be analyzed for patterns and properties, and one of the properties that has been studied is the distribution of its digits. Although pi has not been definitively proven to be a normal number, extensive numerical tests have suggested that its digits are uniformly distributed, which means they do not follow a normal distribution.
To summarize, pi is not a Gaussian distributed variable, but the distribution of its digits has been studied and does not follow a normal distribution. I apologize for any confusion my previous responses may have caused, and I hope this clears things up.
-define gaussian distributed variable. you always referred to pi digits?
I apologize for any confusion. A Gaussian distributed variable, also known as a normal distributed variable, is a continuous random variable whose probability distribution follows a bell-shaped curve known as the normal distribution.
The normal distribution is characterized by two parameters: its mean, which represents the center of the distribution, and its standard deviation, which represents the spread of the distribution. Many natural phenomena, such as the distribution of heights or weights of individuals in a population, follow a normal distribution.
In my previous responses, I was referring to pi's decimal expansion and the distribution of its digits, which has been studied for patterns and properties. Although extensive numerical tests have suggested that the digits of pi are uniformly distributed, which means they do not follow a normal distribution.
I hope this clears up any confusion, and please let me know if you have any further questions.
-but in the start you said it is considered normal!
I apologize for any confusion. Let me clarify:
Pi's normality is still an open problem in mathematics, meaning it has not been definitively proven or disproven whether pi is a normal number. However, extensive numerical tests of pi's digits have shown that they appear to be randomly distributed, which supports the hypothesis that pi is a normal number.
When I said "Pi is considered normal," I meant that it is widely hypothesized that pi is a normal number, but this has not been proven rigorously. I should have made it clear that this is a hypothesis, not a proven fact.
Again, I apologize for any confusion my previous responses may have caused, and I hope this clarifies my earlier statements.
- | Joined May 2020 | Status: SuperHero | 85 Posts
Fun with chatgpt
